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INFERENCE TABLE


To manage parallel rules, the inference engine uses an inference table to compute final fuzzy set. It computes, for each variable, its conclusion fuzzy set and combines all the conclusion fuzzy sets in accordance with rule operator combination and aggregation and parallel principles.

Assume the following rules and facts.

Rule 1 : IF X is tex2html_wrap_inline1520 and Y is tex2html_wrap_inline1600 THEN W is tex2html_wrap_inline2042
Rule 2 : IF X is tex2html_wrap_inline1700 or Z is tex2html_wrap_inline2050 THEN W is tex2html_wrap_inline2054
Facts : X is tex2html_wrap_inline1358 Y is tex2html_wrap_inline1366 Z is tex2html_wrap_inline2070
Conclusion : W is tex2html_wrap_inline2082

The algorithm tex2html_wrap_inline2084 is applied for each no parallel variable and tex2html_wrap_inline2086 (in this case n=2), for each parallel variable as shows the following inference table :

    W X Y Z
Facts -  tex2html_wrap_inline1358   tex2html_wrap_inline1366   tex2html_wrap_inline2070 
Rule 1  tex2html_wrap_inline2042  tex2html_wrap_inline1520 tex2html_wrap_inline1600 -
Rule 2 tex2html_wrap_inline2054 tex2html_wrap_inline1700 - tex2html_wrap_inline2050
Conclusion tex2html_wrap_inline2082 tex2html_wrap_inline2124 tex2html_wrap_inline2126 tex2html_wrap_inline2128

with

tex2html_wrap_inline2130 ,

tex2html_wrap_inline2132 ,

tex2html_wrap_inline2134 and

tex2html_wrap_inline2136





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